Applying Social Networking and Clustering Algorithms to Galaxy Groups in ALFALFA

Details Applying Social Networking and Clustering Algorithms to Galaxy Groups in ALFALFA Applying Social Networking and Clustering Algorithms to Galaxy Groups in ALFALFA

Jan 2012

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2012aas...21932907b&link_type=abstract

American Astronomical Society, AAS Meeting #219, #329.07

Astronomy and Astrophysics

Astronomy

Scientific paper

Because most galaxies live in groups, and the environment in which it resides affects the evolution of a galaxy, it is crucial to develop tools to understand how galaxies are distributed within groups. At the same time we must understand how groups are distributed and connected in the larger scale structure of the Universe. I have applied a variety of networking techniques to assess the substructure of galaxy groups, including distance matrices, agglomerative hierarchical clustering algorithms and dendrograms. We use distance matrices to locate groupings spatially in 3-D. Dendrograms created from agglomerative hierarchical clustering results allow us to quantify connections between galaxies and galaxy groups. The shape of the dendrogram reveals if the group is spatially homogenous or clumpy. These techniques are giving us new insight into the structure and dynamical state of galaxy groups and large scale structure. We specifically apply these techniques to the ALFALFA survey of the Coma-Abell 1367 supercluster and its resident galaxy groups.

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